diff --git a/Part 1 - Introduction to Machine Learning with scikit-learn.md b/Part 1 - Introduction to Machine Learning with scikit-learn.md index 305dc40..e703cd6 100644 --- a/Part 1 - Introduction to Machine Learning with scikit-learn.md +++ b/Part 1 - Introduction to Machine Learning with scikit-learn.md @@ -76,10 +76,10 @@ In the above example, we import the `train_test_split` method from scikit-learn' * `Y_test`, a one-dimensional array containing the expected outcome of each data entry in `X_test`. Continuing our analogy of studying for a math exam, -* `X_train` contains all of your answers to the practice problems +* `X_train` contains all your answers to the practice problems * `Y_train` contains all the correct answers to the practice problems -* `X_test` contains all of your answers to the real exam -* `Y_test` contains all of the correct answers to the real exam +* `X_test` contains all your answers to the real exam +* `Y_test` contains all the correct answers to the real exam ### 🤔 Food for Thought